{"id":"W3089092845","doi":"10.1109/tgcn.2020.3025951","title":"Statistical-QoS Guarantee for IoT Network Driven by Laser-Powered UAV Relay and RF Backscatter Communications","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Green Communications and Networking","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Shenzhen University; National Natural Science Foundation of China","keywords":"Relay; Backscatter (email); Internet of Things; Quality of service; Computer science; Computer network; Laser; Telecommunications; Free-space optical communication; Optical communication; Electronic engineering; Engineering; Wireless; Embedded system; Physics; Power (physics); Optics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001507836,0.0002532254,0.0002781127,0.00006056998,0.0009777093,0.0001095185,0.0005706491,0.0001455658,0.00002664972],"category_scores_gemma":[0.00000125084,0.0002838184,0.00006534335,0.000389335,0.0002419857,0.0001191675,0.0000243195,0.0004296144,0.00001182074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004077802,"about_ca_system_score_gemma":0.00001864236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005713614,"about_ca_topic_score_gemma":0.0002975192,"domain_scores_codex":[0.9987522,0.00008299045,0.0004462779,0.000296047,0.0001037353,0.00031878],"domain_scores_gemma":[0.9978043,0.0006691875,0.0000811589,0.001215174,0.00007494789,0.000155262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001554956,0.0005296446,0.000565329,0.0002337038,0.0007258808,9.389822e-7,0.002183136,0.1574376,0.001378805,0.002010102,0.04781243,0.7869669],"study_design_scores_gemma":[0.0005434402,0.0001017469,0.00003907585,0.00005893341,0.0001207091,0.000003698305,0.00005502552,0.8844184,0.00006156445,0.000235904,0.1140679,0.0002935356],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001120503,0.002751908,0.9874321,0.006635095,0.000129198,0.0007782315,0.0003552323,0.0002806088,0.0005171202],"genre_scores_gemma":[0.9003845,0.01622069,0.08121214,0.001112193,0.0001473951,0.0005185739,0.000244452,0.00008504481,0.00007495649],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.90622,"threshold_uncertainty_score":0.9999614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02602013754278933,"score_gpt":0.2406677132345499,"score_spread":0.2146475756917606,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}